AI powered development is allowing people to build faster than ever before. Part of that speed comes from allowing AI coding tools to access "real world" information, like a human developer would. Enter MCP Servers. MCP servers are implementations of the Model Context Protocol that enable large language models (LLMs) to securely and efficiently interact with various tools and data sources, such as filesystems, databases, and web services. https://lnkd.in/enHtdETJ
AlphaBravo ????
IT 服务与咨询
Frederick,Maryland 1,370 位关注者
Kubernetes Enablement, Cloud and AI for the DOD
关于我们
AlphaBravo is a leading provider of container and kubernetes based solutions to Government agencies. We remove barriers for streamlined IT processes, enabling our clients to focus on their mission. Our unique value proposition is our deep understanding of the Federal acquisition process and our ability to provide innovative, cost-effective solutions that meet stringent security requirements. Our mission is to help Government agencies achieve their goals by providing innovative technology solutions and exceptional customer service. Our vision is to be the trusted partner of choice for Government agencies nationwide. Our solution offerings concentrate on these core areas: - Cybersecurity - Vulnerability Mitigation - Training and Enablement for the CNCF ecosystem Kubernetes Certified Service Provider - CNCF Rancher | SUSE - Training and Enablement Gold Partner - SBIR Phase I - Persistent Storage at Edge Locations - SBIR Phase II - Container Hardening, Automation and DevOps - SBIR Phase I - ABScan (Cybersecurity) GSA Schedule 70 - https://sam.gov/opp/4a63c8f1df3a41ebabef0db4ad252278/view
- 网站
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https://alphabravo.io
AlphaBravo ????的外部链接
- 所属行业
- IT 服务与咨询
- 规模
- 11-50 人
- 总部
- Frederick,Maryland
- 类型
- 私人持股
- 创立
- 2017
- 领域
- open source、DevSecOps、kubernetes、edge computing、Rancher、DevOps、cybersecurity、automation、cloud、AI、cloud和container security
地点
AlphaBravo ????员工
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Mike 'MJ' Johnson
Husband. Father. DevSecOps. AI. CTO / Chief AI Officer.
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Ed Engelking II
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Andrew Kumlin
Fullstack Go developer, with experience creating web apps for the United States Air Force.
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Garrett Sheppard
DevSecOps Engineer | Secret Clearance | Security+ | AWS Certified Solutions Architect
动态
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Make your local #AI smarter! The Minions project enables small, on-device language models to collaborate with powerful cloud-based models, reducing cloud costs while maintaining high-quality performance. https://lnkd.in/dVXXgXP6
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Holy cow, Mistral Small 3.1 just stormed onto the scene, and it’s an absolute game-changer! This 24-billion-parameter beast from Mistral AI, released under the Apache 2.0 license, is a multimodal marvel that crushes it on text, images, and more, all while zipping along at 150 tokens per second with a whopping 128k token context window. It’s outpacing heavyweights like Gemma 3 and GPT-4o Mini, and the best part? You can run it on a single RTX 4090 or a beefy Mac with 32GB RAM—talk about power in your pocket! This isn’t just a model; it’s a revolution for anyone needing fast, sharp, and customizable AI muscle. Now, imagine the Federal Government and the Department of Defense (DoD) getting their hands on this bad boy—oh, the possibilities! For the Feds, Mistral Small 3.1 could turbocharge everything from real-time document analysis to multilingual comms across agencies, all while keeping costs low and latency lower. The DoD, though? They could leverage this for next-level battlefield applications—think rapid image-based threat detection, on-device drone diagnostics, or even fine-tuning it into a tactical subject matter expert for mission-critical ops. Since it’s open-source and deployable locally, it’s a dream for secure, offline systems where data sovereignty’s non-negotiable—perfect for classified environments! The kicker? Its lightweight design and insane efficiency mean the government and DoD can scale it across platforms without breaking the bank or needing a supercomputer farm. From speeding up intelligence analysis to powering autonomous systems in the field, Mistral Small 3.1’s versatility could slash response times and boost decision-making precision. With the ability to customize it for specialized domains—like cybersecurity or logistics—the Feds and DoD could turn this into a swiss-army-knife AI, all while keeping it under their control. This is the kind of tech that doesn’t just keep up—it sets the pace! https://lnkd.in/dp2wxK3B
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The AlphaBravo team attended SUSECON 25 last week and the SUSE team did a great job of showing off how they are embracing open-source and AI. Check out their SUSE AI 1.0 release. Exciting things to come based on our conversations with them! https://lnkd.in/exb6pcgb
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Pop quiz, what's wrong with this message? (They almost got us! ??) Stay safe out there folks. #CyberAwareness #CyberSecurity
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Following to our post about QWQ, if you can't quite run a 20GB model (let's face it, VRAM is hard to come by these days), Groq #AI has released QWQ 32B running at an insane ~400T/s. Give them a try today! #FeeltheAGI https://bit.ly/3Dgw1Rd
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#QwQ Reasoning #AI Large Language Model (#LLM) in the Qwen series is truly a revolution. Similar performance to #DeepSeek R1 671B but at only 32 billion parameters. Try it locally today on #Ollama or #LMStudio: Ollama: https://bit.ly/3Djpllf LMStudio: https://bit.ly/3DhTKjY
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Want to train dozens or hundreds of your employees on containers, K8s, Rancher and other DevSecOps topics with hands on lab environments? Check out our ABLabs offering! We offer remote and onsite, expert led trainings available and extended lab access. https://bit.ly/4bwRT7t
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